Publications

One Step Closer to Unbiased Aleatoric Uncertainty Estimation
- - Wang Zhang
  - Ziwen Martin Ma
  - et al.
- 2024
- AAAI 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
- - Walter Gerych
  - Yara Rizk
  - et al.
- 2024
- AAAI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- - Shengwei An
  - Sheng-Yen Chou
  - et al.
- 2024
- AAAI 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
- - Naiyu Yin
  - Tian Gao
  - et al.
- 2024
- AAAI 2024
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
- - Manish Nagireddy
  - Lamogha Chiazor
  - et al.
- 2024
- AAAI 2024
Partially Observable Hierarchical Reinforcement Learning with AI Planning
- - Brandon Rozek
  - Junkyu Lee
  - et al.
- 2024
- AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
- - Anh Duc Nguyen
  - Tuan Dung Nguyen
  - et al.
- 2024
- AAAI 2024
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
- - Zhenfang Chen
  - Qinhong Zhou
  - et al.
- 2024
- AAAI 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
- - Clyde Fare
  - George K. Holt
  - et al.
- 2024
- AAAI 2024
Interactive Human-Centric Bias Mitigation
- - Inge Vejsbjerg
  - Elizabeth M. Daly
  - et al.
- 2024
- AAAI 2024